MétaCan
Menu
Back to cohort
Record W2023027404 · doi:10.3138/jvme.37.4.317

150th Anniversary of Veterinary Education and the Veterinary Profession in North America

2010· article· en· W2023027404 on OpenAlexvenueno aff
Donald F. Smith

Bibliographic record

VenueJournal of Veterinary Medical Education · 2010
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVeterinary educationVeterinary medicineAdmirationMedicineMedical educationCurriculumPolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

This article is the first in a series of three to be published in the Journal of Veterinary Medical Education (JVME). These articles are abridged versions of six lectures that make up an elective course on the history of the veterinary profession in North America offered at Cornell University's College of Veterinary Medicine in spring 2010. The course was based in large part on an oral history collection titled "An Enduring Veterinary Legacy"(1) that captures interesting and relevant veterinary stories. The course was designed to increase awareness of the history of veterinary medicine as we approach the sesquicentennial of the American Veterinary Medical Association (AVMA) in 2013 and as we join with our international colleagues in marking the 250th anniversary of the establishment of the world's first veterinary college in Lyon, France, in 2011.(2) The overarching goal of this course and the articles is to record and also to share first-person stories that describe the development of veterinary education and the veterinary profession in North America from the mid-1860s to the present. In the process, it is hoped that this history will encourage respect, love, and admiration for the veterinary profession and an appreciation of veterinary medicine as a versatile profession. The articles are somewhat Cornell-centric because the lectures on which they are based were presented to Cornell students at their home institution. However, it is hoped that the events are representative of the broader American experience. For educators interested in the course itself, a brief synopsis and a summary of student evaluations for the first year of presentation is appended here and in subsequent articles in this series.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.192
GPT teacher head0.516
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Veterinary Medical EducationSame topicVeterinary Practice and Education StudiesFrench-language works237,207